What is knowledge-agent?

A tool for turning saved development observations into focused, question-answerable knowledge bases. It can gather notes by project, topic, file, type, search query, or date, then load them into an AI session.

Use it to build focused reference sets such as a project’s hook decisions, bug fixes, or service history, then ask questions about them.

It makes it easier to find and use relevant knowledge from past work without searching through every observation manually.

knowledge-agent — Skill for Claude Code by zhaixin244-wq/fnw

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add zhaixin244-wq/fnw --skill knowledge-agent

Clone the repo

git clone --depth 1 https://github.com/zhaixin244-wq/fnw

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/knowledge-agent/github.svg)](https://agentmods.dev/skills/zhaixin244-wq/fnw/knowledge-agent)

Your own site

<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/knowledge-agent"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/knowledge-agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/knowledge-agent"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/knowledge-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 569 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00046	$0.00569
Opus 5.5	$0.00018	$0.00228
Sonnet 5.5	$0.00009	$0.00114
Haiku 4.5	$0.00005	$0.00057

Measured 2mo ago against content hash 538de006ebe2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to knowledge-agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/knowledge-agent/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Agent

Build and query AI-powered knowledge bases from claude-mem observations.

What Are Knowledge Agents?

Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.

Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".

Workflow

Step 1: Build a corpus

build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="claude-mem" concepts="hooks" limit=500

Filter options:

project — filter by project name
types — comma-separated: decision, bugfix, feature, refactor, discovery, change
concepts — comma-separated concept tags
files — comma-separated file paths (prefix match)
query — semantic search query
dateStart / dateEnd — ISO date range
limit — max observations (default 500)

Step 2: Prime the corpus

prime_corpus name="hooks-expertise"

This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.

Step 3: Query

query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?"

The knowledge agent answers from its corpus. Follow-up questions maintain context.

Step 4: List corpora

list_corpora

Shows all corpora with stats and priming status.

Tips

Focused corpora work best — "hooks architecture" beats "everything ever"
Prime once, query many times — the session persists across queries
Reprime for fresh context — if the conversation drifts, reprime to reset
Rebuild to update — when new observations are added, rebuild then reprime

Maintenance

Rebuild a corpus (refresh with new observations)

rebuild_corpus name="hooks-expertise"

After rebuilding, reprime to load the updated knowledge:

Read the full file on GitHub · 81 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 81 lines · 46 tokens per session scan A 538de006ebe2

Subscribe to this mod's changes

knowledge-agent is a skill published in the GitHub repository zhaixin244-wq/fnw (31 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 569 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to knowledge-agent, differing in 0 lines, and is treated as a copy.

Data and AI Memory and context RAG and vectors

knowledge-agent next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
knowledge-agentzhaixin244-wq/fnw	Skill	31	5mo ago	MIT	A	46	Claude Code
AgentDB Memory Patternsruvnet/RuView	Skill	103k	today	MIT	A	45	Claude Code
agent-v3-memory-specialistruvnet/ruflo	Skill	81k	today	MIT	A	25	Claude Code
agents-langchaindavila7/claude-code-templates	Skill	33k	today	MIT	A	80	Claude Code, Codex
knowledge-orgbojieli/ai-agent-book	Skill	57k	1mo ago	Apache-2.0	A	96	Claude Code, Codex
xerjxerj-org/xerj	Skill	19k	today	Apache-2.0	A	38	Claude Code, Codex
llm-wikiAr9av/obsidian-wiki	Skill	3.7k	2d ago	MIT	A	41	Claude Code